Data Scientist

Gen AI / RAG / LLM / Agentic AI Engineer

Position: Gen AI Engineer / AI Solutions Engineer

Experience: 58 Years

Location: Bangalore, Pune, Chennai, gurgaon, Kolkata

Job Summary:

Looking for an experienced Generative AI Engineer to design, develop, and deploy AI-driven solutions leveraging LLMs, Retrieval Augmented Generation (RAG), Agentic AI, forecasting models, and pricing analytics. The ideal candidate will work on building intelligent AI applications that solve complex business problems across areas such as demand forecasting, revenue growth management (RGM), price optimization, and decision intelligence.

Key Responsibilities:

• Design and develop Generative AI applications using Large Language Models (LLMs) and AI frameworks.
• Build and optimize RAG (Retrieval Augmented Generation) pipelines using enterprise data sources.
• Develop AI agents and multi-agent workflows using Agentic AI frameworks.
• Implement prompt engineering strategies, fine-tuning approaches, and LLM evaluation techniques.
• Integrate LLM solutions with enterprise applications, APIs, databases, and cloud platforms.
• Develop intelligent assistants, copilots, and automation solutions using Gen AI technologies.
• Work on forecasting models for demand prediction, sales forecasting, and business planning.
• Develop models related to price elasticity, pricing optimization, and revenue growth management (RGM).
• Collaborate with data scientists, business teams, and product stakeholders to deliver AI solutions.
• Perform model validation, monitoring, performance tuning, and continuous improvement.

Required Technical Skills:

Generative AI / LLM

• Hands-on experience with:
• LLMs (GPT, Claude, Gemini, Llama, Mistral, etc.)
• Prompt Engineering
• LLM APIs
• Fine-tuning / RAG optimization
• AI application development

RAG & Vector Databases

• Experience building RAG architecture:
• Document ingestion
• Chunking strategies
• Embeddings
• Semantic search
• Retrieval optimization
• Experience with vector databases:
• FAISS
• Pinecone
• ChromaDB
• Weaviate
• Azure AI Search

Agentic AI

• Experience building AI agents using frameworks such as:
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Knowledge of:
• Agent workflows
• Tool calling
• Function calling
• Multi-agent orchestration

Machine Learning / Analytics

• Strong understanding of:
• Forecasting techniques
• Time series models
• Demand forecasting
• Regression models
• Machine learning algorithms

Pricing Analytics

• Experience with:
• Price elasticity modeling
• Dynamic pricing
• Promotion effectiveness
• Revenue Growth Management (RGM)
• Consumer / sales analytics

Programming & Cloud Skills:

• Strong Python programming skills
• Experience with:
• PyTorch / TensorFlow
• Scikit-learn
• Pandas / NumPy
• Experience with cloud platforms:
• Azure AI / OpenAI
• AWS Bedrock / SageMaker
• Google Vertex AI